A Petri net based methodology for modelling, analysis, demand forecast and optimal planning of batch production systems

Konstantinos E. Vrontakis; Andreas N. Kampianakis; George J. Tsinarakis

doi:10.1109/SMC.2016.7844395

A Petri net based methodology for modelling, analysis, demand forecast and optimal planning of batch production systems

Konstantinos E. Vrontakis
, Andreas N. Kampianakis
, George J. Tsinarakis

Technical University of Crete
Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

A methodology for optimal production planning of an industry, processing multiple raw material types, is presented. Petri net modeling of production procedures, combined with stochastic forecast of upcoming demand, produce necessary input for a Mixed Integer Linear Problem (MILP) that calculates optimal production timeline according to various constraints. The methodology is developed for batch production systems with resource sharing between different types of final products, and is applied to a real case study system.

Original language	English
Title of host publication	Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics
Publisher	IEEE
Publication date	2016
Pages	1136-1141
ISBN (Electronic)	978-1-5090-1897-0
DOIs	https://doi.org/10.1109/SMC.2016.7844395
Publication status	Published - 2016
Externally published	Yes
Event	2016 IEEE International Conference on Systems, Man, and Cybernetics - Budapest, Hungary Duration: 9 Oct 2016 → 12 Oct 2016 http://smc2016.org/ https://ieeexplore.ieee.org/xpl/conhome/7830913/proceeding

Conference

Conference	2016 IEEE International Conference on Systems, Man, and Cybernetics
Country/Territory	Hungary
City	Budapest
Period	09/10/2016 → 12/10/2016
Internet address	http://smc2016.org/ https://ieeexplore.ieee.org/xpl/conhome/7830913/proceeding

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10.1109/SMC.2016.7844395

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@inproceedings{3438848b9a2e4631b803781340a6e648,

title = "A Petri net based methodology for modelling, analysis, demand forecast and optimal planning of batch production systems",

abstract = "A methodology for optimal production planning of an industry, processing multiple raw material types, is presented. Petri net modeling of production procedures, combined with stochastic forecast of upcoming demand, produce necessary input for a Mixed Integer Linear Problem (MILP) that calculates optimal production timeline according to various constraints. The methodology is developed for batch production systems with resource sharing between different types of final products, and is applied to a real case study system.",

author = "Vrontakis, \{Konstantinos E.\} and Kampianakis, \{Andreas N.\} and Tsinarakis, \{George J.\}",

year = "2016",

doi = "10.1109/SMC.2016.7844395",

language = "English",

pages = "1136--1141",

booktitle = "Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics",

publisher = "IEEE",

address = "United States",

note = "2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 ; Conference date: 09-10-2016 Through 12-10-2016",

url = "http://smc2016.org/, https://ieeexplore.ieee.org/xpl/conhome/7830913/proceeding",

}

Vrontakis, KE, Kampianakis, AN & Tsinarakis, GJ 2016, A Petri net based methodology for modelling, analysis, demand forecast and optimal planning of batch production systems. in Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics. IEEE, pp. 1136-1141, 2016 IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary, 09/10/2016. https://doi.org/10.1109/SMC.2016.7844395

A Petri net based methodology for modelling, analysis, demand forecast and optimal planning of batch production systems. / Vrontakis, Konstantinos E.; Kampianakis, Andreas N.; Tsinarakis, George J.
Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics. IEEE, 2016. p. 1136-1141.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - A Petri net based methodology for modelling, analysis, demand forecast and optimal planning of batch production systems

AU - Vrontakis, Konstantinos E.

AU - Kampianakis, Andreas N.

AU - Tsinarakis, George J.

PY - 2016

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N2 - A methodology for optimal production planning of an industry, processing multiple raw material types, is presented. Petri net modeling of production procedures, combined with stochastic forecast of upcoming demand, produce necessary input for a Mixed Integer Linear Problem (MILP) that calculates optimal production timeline according to various constraints. The methodology is developed for batch production systems with resource sharing between different types of final products, and is applied to a real case study system.

AB - A methodology for optimal production planning of an industry, processing multiple raw material types, is presented. Petri net modeling of production procedures, combined with stochastic forecast of upcoming demand, produce necessary input for a Mixed Integer Linear Problem (MILP) that calculates optimal production timeline according to various constraints. The methodology is developed for batch production systems with resource sharing between different types of final products, and is applied to a real case study system.

U2 - 10.1109/SMC.2016.7844395

DO - 10.1109/SMC.2016.7844395

M3 - Article in proceedings

SP - 1136

EP - 1141

BT - Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics

PB - IEEE

T2 - 2016 IEEE International Conference on Systems, Man, and Cybernetics

Y2 - 9 October 2016 through 12 October 2016

ER -

A Petri net based methodology for modelling, analysis, demand forecast and optimal planning of batch production systems

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